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SpaceX’s orbital Starship launch debut may be pushed to 2022 by slow FAA reviews
In a rare sign of material progress, SpaceX and the FAA have finally released what is known as a draft environmental assessment (EA) of the company’s South Texas Starship launch plans.
Set to be the largest and most powerful rocket in spaceflight history when it first begins orbital launches, the process of acquiring permission to launch Starship and its Super Heavy booster out of the wetlands of the South Texas coast was never going to be easy. The Boca Chica site SpaceX ultimately settled on for its first private launch facilities – initially meant for Falcon 9 and Falcon Heavy but later dedicated to BFR (now Starship) – is simultaneously surrounded by sensitive coastal habitats populated by several threatened or endangered species and situated mere miles as the crow flies from a city whose temporary population oscillates from a few thousand to tens of thousands.
Reception and analysis of the draft and its timing have been mixed. On one hand, SpaceX’s draft EA – completed with oversight from the FAA and help from the US Fish and Wildlife Service (USFWS) – gives a number of reasons for optimism. In a sign that SpaceX is taking a pragmatic approach to the inevitable environmental review and launch license approval hurdles standing in front of orbital South Texas Starship launches, the company has actually pursued what is known as a “programmatic environmental assessment” (PEA).
Most importantly, that means that SpaceX’s Starbase PEA – if approved – will be more like a foundation or stepping stone that should make it easier to start small and methodically expand the scope and nature of the company’s plans for Boca Chica. Along those lines, as part of Starbase’s first dedicated environmental assessment, SpaceX has proposed a maximum of 23 flight operations annually while Starship is still in the development phase, including up to 20 suborbital Starship test flights and 3 orbital launches (or Super Heavy hops). Once SpaceX has worked out enough kinks for slightly more confident Starship operations, the company would enter an “operational phase” that would allow for as many as five suborbital Starship launches and five orbital Starship launches, as well as ship and booster landings back on land after all 10 possible launches.
In other words, SpaceX’s initial draft PEA is extremely conservative, requesting permission for what amounts to a bare minimum concept of operations for orbital Starship launches. At a maximum of 3-5 orbital launches per year, a PEA and subsequent launch license approved as-is would likely give SpaceX just enough slack to perform basic Earth orbit launches and no more than one or two orbital refilling tests per year. However, as an example, a five-launch maximum would almost entirely prevent SpaceX from launching Starship to Mars, the Moon, and maybe even high-energy Earth orbits without using all of its annual launch allotments on a single mission.
Perhaps most importantly, the draft PEA as proposed would unequivocally prevent SpaceX from performing the NASA Human Lander System (HLS) Moon landings it received an almost $3 billion contract to complete. Each HLS Starship Moon landing is expected to require anywhere from 10-16 launches to deliver a depot ship, HLS lander, and ~1200 tons of propellant to orbit. However, in terms of SpaceX’s prospects of developing Starship as quickly as possible, that’s actually a good thing. Above all else, SpaceX’s slimmed-down draft PEA should be far easier for the FAA to approve than a PEA pursuing permission for Starship’s ultimate ambitions – dozens to hundreds of launches annually – from the beginning. In theory, with this barebones PEA approved, SpaceX would then be able to build off the foundation with additional environmental assessments – like, for example, of expanding Starship’s maximum launch cadence.
Of course, SpaceX first needs the FAA turn this first draft PEA into a favorable environmental assessment (not a guarantee) before any of the above starts to matter. Based on the content of the draft itself and associated appendixes, SpaceX appears to have a decent shot at receiving a “finding of no significant impact (FONSI)” or “mitigated FONSI” determination. However, SpaceX began the process of creating that draft as far back as mid-2020, followed by an FAA announcement in November 2020. The implication is that the FAA managed to drag out a draft release process that some have estimated should have taken 3-4 months into an arduous 10-15 month ordeal.
Combined with the uphill battle it’s starting to look like SpaceX will have to wage for an orbital Starship launch license in South Texas, it’s looking increasingly likely that Starship, Super Heavy, and Starbase will be technically ready for orbital launch tests well before the FAA is ready to approve or license them. Barring delays, the public now has until mid-October to read and comment on SpaceX’s draft PEA, after which the FAA and SpaceX will review those comments and hopefully turn the draft into a completed review. Even if the FAA were to somehow take just two months to return a best-case FONSI, clearing Starbase of environmental launch hurdles, it’s hard to imagine that the agency could then turn around and approve an orbital Starship launch license – or even a one-off experimental permit – in the last few weeks of 2021.
Ultimately, that means that nothing short of a minor miracle is likely to prevent the FAA’s environmental review and licensing delays from directly delaying Starship’s orbital launch debut. There is at least a chance that Starship, Super Heavy, and Starbase’s orbital launch site wont be ready for orbital launches by the end of the year, but it’s increasingly difficult to imagine that all three won’t be proof tested, qualified, and ready for action just a month or two from now. For the time being, we’ll just have to wait and see where the cards fall.
Elon Musk
Elon Musk teases crazy outlook for xAI against its competitors
Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.
Elon Musk has never been one to shy away from crazy timelines, massive expectations, and outrageous outlooks. However, his recent plans for xAI and where he believes it will end up compared to its competitors are sure to stimulate conversation.
In a bold and characteristic response on X, Elon Musk fired back at a recent analysis that positioned his AI venture, xAI, as lagging behind industry frontrunners.
The post, from March 14, came as a direct reply to forecaster Peter Wildeford’s assessment, which drew from benchmarks and reporting to rank AI developers.
xAI will catch up this year and then exceed them all by such a long distance in 3 years that you will need the James Webb telescope to see who is in second place
— Elon Musk (@elonmusk) March 14, 2026
Wildeford placed Anthropic, Google, and OpenAI in a virtual tie at the top, with xAI and Meta trailing by about seven months. Chinese players like Moonshot, Deepseek, zAI, and Alibaba were estimated to be nine months behind, while France’s Mistral lagged by about a year and a half.
Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.
He claimed xAI would “catch up this year,” meaning by the end of 2026, erasing that seven-month deficit against the leaders. But he didn’t stop there.
Musk escalated his vision to 2029, predicting xAI would “exceed them all by such a long distance” that observers would need the James Webb Space Telescope, NASA’s orbiting observatory stationed about 930,000 miles from Earth, to spot whoever lands in second place. This analogy underscores Musk’s confidence in xAI’s trajectory, implying an astronomical lead that could redefine the AI landscape.
Breaking down these claims reveals Musk’s strategic optimism. First, the short-term catch-up: xAI, launched in 2023, has already released models like Grok, but recent benchmarks, including those for Grok 4.2, have shown it falling short in capabilities compared to rivals.
Anthropic’s Claude series, Google’s Gemini, and OpenAI’s GPT models dominate in areas like reasoning, coding, and multimodal tasks. Musk’s assertion suggests aggressive scaling in compute, talent, or architecture, perhaps leveraging xAI’s ties to Tesla’s Dojo supercomputers or Musk’s vast resources, to close the gap swiftly.
The longer-term dominance by 2029 paints an even more audacious picture. Musk envisions xAI not just parity but supremacy, outpacing competitors in innovation speed and model sophistication.
This could involve breakthroughs in energy-efficient training, real-world integration, like Tesla’s robotics, or ethical AI alignment, aligning with Musk’s stated goal of “understanding the universe.”
Critics, however, point to parallels with Tesla’s Full Self-Driving delays; one reply highlighted Musk’s 2023 promise of FSD readiness. Musk has made this promise for many years, and although the system has been strong and improving, it is still a ways off from the completely autonomous operation that was expected by now.
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Musk’s comment highlights the intensifying U.S.-centric AI race, with xAI challenging the “three-way” dominance noted by Wharton professor Ethan Mollick, whom Wildeford quoted. As geopolitical tensions rise—evident in the Chinese firms’ lag—Musk’s tease could spur investment and talent wars.
Yet, it also invites scrutiny: Will xAI deliver, or is this another telescope-needed mirage? In an industry where timelines slip but stakes soar, Musk’s words keep the spotlight on xAI’s ambitious path forward.
Elon Musk
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.
While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.
Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.
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The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.
(Credit: Tesla)
This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.
Credit: @serobinsonjr/X
The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.
The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.
Elon Musk
What is Digital Optimus? The new Tesla and xAI project explained
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.
This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.
xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.
When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.
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The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.
Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.
Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.
It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.
Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving.
We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.
— Elon Musk (@elonmusk) March 12, 2026
Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.
By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.
As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.
In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.
It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.
Elon Musk teases crazy outlook for xAI against its competitors
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
